Computer Science – Performance
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsa32b..02b&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #SA32B-02
Computer Science
Performance
[3369] Atmospheric Processes / Thermospheric Dynamics, [7954] Space Weather / Magnetic Storms, [7959] Space Weather / Models
Scientific paper
The accelerometers on the CHAMP and GRACE satellites have made it possible to accumulate near-continuous records of thermosphere density between about 300 and 490 km since May 2001, and July 2002, respectively. In particular, the response to virtually every significant geomagnetic storm has been observed with an in-track resolution of 80 km or better. CHAMP (decayed in September 2010) and GRACE data cover (nearly) all latitudes and sample 24 hr local time approximately every 4 and 5 months, respectively. The temporal and latitudinal responses of the thermosphere to geomagnetic disturbances, i.e., space weather, have been extensively studied using these exceptional datasets. A simple means to evaluate atmospheric variability is by way of de-trending the data, allowing the extraction of specific ranges in horizontal scale, and analyzing density "residuals". Another method consists of analyzing density residuals with respect to a model. Daily-mean densities, which are also available for higher altitudes thanks to other spacecraft, are used in more climatology-oriented analyses. Semi-empirical thermosphere density models (NRLMSIS00, JB2008, DTM) are used in satellite orbit determination to compute the atmospheric drag force, as well as in upper atmosphere studies. They represent temperature and density as a function of altitude, latitude, local solar time, day of year, and solar and geomagnetic proxies. The climatology of the thermosphere is better represented by semi-empirical than first-principle models. However, the former models are purely statistic and cannot reproduce space weather events, which the latter models can with some success. This presentation aims at giving an overview of observed (with accelerometers) and modeled (statistical and first-principle models) space weather effects, as well as an evaluation of the performance for the last solar cycle of semi-empirical models.
Bruinsma Sean L.
Fedrizzi Michele
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